Prevalence of Celiac Disease in Collagenous and Lymphocytic Colitis
Bibliographic record
Abstract
Both collagenous and lymphocytic colitis have been described in patients with celiac disease, suggesting an association between the conditions. Over the past few years, the availability, sensitivity and specificity of serological markers for celiac disease have improved - the most recent advancement being the description of tissue transglutaminase as the major antigen for endomysium antibody. A quantitative ELISA was used to measure titres of immunoglobulin A (IgA) antibody to tissue transglutaminase (tTG) along with an immunofluorescent technique for IgA endomysium antibody (EmA) in 15 patients with lymphocytic colitis and eight with collagenous colitis to determine whether celiac disease latency could be detected. One patient with lymphocytic colitis demonstrated both elevated titres of tTG antibody and positive EmA, and small bowel biopsy confirmed celiac disease. One patient with collagenous colitis had a slightly elevated titre of tTG antibody with a negative EmA, and results of a small bowel biopsy were normal. Three other patients with lymphocytic colitis were already treated for previously diagnosed celiac disease. The prevalence of celiac disease occurring in lymphocytic colitis was found to be 27%, but no cases of celiac disease in association with collagenous colitis were found.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".